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Another advantage of using AI in video recommendation systems is its ability to adapt to changing preferences over time. Unlike traditional static algorithms that provide recommendations based on predefined rules set by developers, machine learning models continuously learn from new data inputs – meaning they get better at predicting user preferences the more they interact with the platform.
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However successful implementation of an AI-powered video recommendation system requires careful consideration of several factors including privacy concerns around collecting personal data, ensuring the system is not biased towards promoting certain content over others and maintaining a diverse range of recommendations harvestseriespodcast.com to cater for varying tastes.
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